+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Mobile Artificial Intelligence Market Report: Trends, Forecast and Competitive Analysis to 2030

  • PDF Icon

    Report

  • 150 Pages
  • January 2024
  • Region: Global
  • Lucintel
  • ID: 5929384

Mobile Artificial Intelligence Trends and Forecast

The future of the global mobile artificial intelligence market looks promising with opportunities in the smartphones, cameras, drones, automotive, robotics, and augmented reality (AR)/ virtual reality (VR) markets. The global mobile artificial intelligence market is expected to reach an estimated $42.5 billion by 2030 with a CAGR of 15.6% from 2024 to 2030. The major drivers for this market are rising smartphone demand for artificial intelligence, increasing spending on technology related to artificial intelligence (ai), and growing edge computing globally.

Mobile Artificial Intelligence by Segment

The study includes a forecast for the global mobile artificial intelligence by technology, application, and region.

Mobile Artificial Intelligence Market by Technology [Shipment Analysis by Value from 2018 to 2030]

  • 20-28Nm
  • 10Nm
  • 7Nm
  • Others

Mobile Artificial Intelligence Market by Application [Shipment Analysis by Value from 2018 to 2030]

  • Smartphones
  • Cameras
  • Drones
  • Automotive
  • Robotics
  • Augmented Reality (AR)/ Virtual Reality (VR)
  • Others

Mobile Artificial Intelligence Market by Region [Shipment Analysis by Value from 2018 to 2030]

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Mobile Artificial Intelligence Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies mobile artificial intelligence companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the mobile artificial intelligence companies profiled in this report include-
  • Qualcomm
  • Nvidia
  • Intel Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Apple
  • Mediatek
  • Samsung
  • Cerebras Systems
  • Graphcore

Mobile Artificial Intelligence Market Insights

The publisher forecasts that 10nm nodes will remain the largest segment over the forecast period because of growing use of 10nm technology nodes in recently released high-end smartphones, as well as, improvements in the 10nm technological node lead to more power-efficient processors and better battery life and performance for smartphones.

Within this market, smartphones will remain the largest segment due to increasing usage of AI in high-end smartphones for functions like speech and picture recognition, as well as nighttime photography, scene recognition, rapid data processing, and user security, are driving demand for the technology.

North America will remain the largest region over the forecast period due to high concentration of market participants in the region's nations, as well as, existence of an environment in the area that is favorable for startups and smes.

Features of the Global Mobile Artificial Intelligence Market

  • Market Size Estimates: Mobile artificial intelligence market size estimation in terms of value ($B).
  • Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
  • Segmentation Analysis: Mobile artificial intelligence market size by technology, application, and region in terms of value ($B).
  • Regional Analysis: Mobile artificial intelligence market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
  • Growth Opportunities: Analysis of growth opportunities in different technology, application, and regions for the mobile artificial intelligence market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape of the mobile artificial intelligence market.
  • Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

FAQ

Q1. What is the mobile artificial intelligence market size?
Answer: The global mobile artificial intelligence market is expected to reach an estimated $42.5 billion by 2030.

Q2. What is the growth forecast for mobile artificial intelligence market?
Answer: The global mobile artificial intelligence market is expected to grow with a CAGR of 15.6% from 2024 to 2030.

Q3. What are the major drivers influencing the growth of the mobile artificial intelligence market?
Answer: The major drivers for this market are rising smartphone demand for artificial intelligence, increasing spending on technology related to artificial intelligence (ai) and growing edge computing globally.

Q4. What are the major segments for mobile artificial intelligence market?
Answer: The future of the mobile artificial intelligence market looks promising with opportunities in the smartphones, cameras, drones, automotive, robotics, and augmented reality (AR)/ virtual reality (VR) markets.

Q5. Who are the key mobile artificial intelligence market companies?
Answer: Some of the key mobile artificial intelligence companies are as follows:
  • Qualcomm
  • Nvidia
  • Intel Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Apple
  • Mediatek
  • Samsung
  • Cerebras Systems
  • Graphcore
Q6. Which mobile artificial intelligence market segment will be the largest in future?
Answer: The publisher forecasts that 10nm nodes will remain the largest segment over the forecast period because of growing use of 10nm technology nodes in recently released high-end smartphones, as well as, improvements in the 10nm technological node lead to more power-efficient processors and better battery life and performance for smartphones.

Q7. In mobile artificial intelligence market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region over the forecast period due to high concentration of market participants in the region's nations, as well as, existence of an environment in the area that is favorable for startups and smes.

Q.8 Do we receive customization in this report?
Answer: Yes,the publisher provides 10% customization without any additional cost.

This report answers following 11 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the mobile artificial intelligence market by technology (20-28nm, 10nm, 7nm, and others), application (smartphones, cameras, drones, automotive, robotics, augmented reality (AR)/ virtual reality (VR), and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?


This product will be delivered within 1-3 business days.

Table of Contents

1. Executive Summary
2. Global Mobile Artificial Intelligence Market: Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
3. Market Trends and Forecast Analysis from 2018 to 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global Mobile Artificial Intelligence Market Trends (2018-2023) and Forecast (2024-2030)
3.3: Global Mobile Artificial Intelligence Market by Technology
3.3.1: 20-28nm
3.3.2: 10nm
3.3.3: 7nm
3.3.4: Others
3.4: Global Mobile Artificial Intelligence Market by Application
3.4.1: Smartphones
3.4.2: Cameras
3.4.3: Drones
3.4.4: Automotive
3.4.5: Robotics
3.4.6: Augmented Reality (AR)/ Virtual reality (VR)
3.4.7: Others
4. Market Trends and Forecast Analysis by Region from 2018 to 2030
4.1: Global Mobile Artificial Intelligence Market by Region
4.2: North American Mobile Artificial Intelligence Market
4.2.1: North American Mobile Artificial Intelligence Market by Application: Smartphones, Cameras, Drones, Automotive, Robotics, Augmented Reality (AR)/ Virtual reality (VR), and Others
4.3: European Mobile Artificial Intelligence Market
4.3.1: European Mobile Artificial Intelligence Market by Technology: 20-28nm, 10nm, 7nm, and Others
4.3.2: European Mobile Artificial Intelligence Market by Application: Smartphones, Cameras, Drones, Automotive, Robotics, Augmented Reality (AR)/ Virtual reality (VR), and Others
4.4: APAC Mobile Artificial Intelligence Market
4.4.1: APAC Mobile Artificial Intelligence Market by Technology: 20-28nm, 10nm, 7nm, and Others
4.4.2: APAC Mobile Artificial Intelligence Market by Application: Smartphones, Cameras, Drones, Automotive, Robotics, Augmented Reality (AR)/ Virtual reality (VR), and Others
4.5: ROW Mobile Artificial Intelligence Market
4.5.1: ROW Mobile Artificial Intelligence Market by Technology: 20-28nm, 10nm, 7nm, and Others
4.5.2: ROW Mobile Artificial Intelligence Market by Application: Smartphones, Cameras, Drones, Automotive, Robotics, Augmented Reality (AR)/ Virtual reality (VR), and Others
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global Mobile Artificial Intelligence Market by Technology
6.1.2: Growth Opportunities for the Global Mobile Artificial Intelligence Market by Application
6.1.3: Growth Opportunities for the Global Mobile Artificial Intelligence Market by Region
6.2: Emerging Trends in the Global Mobile Artificial Intelligence Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Mobile Artificial Intelligence Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Mobile Artificial Intelligence Market
6.3.4: Certification and Licensing
7. Company Profiles of Leading Players
7.1: Qualcomm
7.2: Nvidia
7.3: Intel Corporation
7.4: IBM Corporation
7.5: Microsoft Corporation
7.6: Apple
7.7: Mediatek
7.8: Samsung
7.9: Cerebras Systems
7.10: Graphcore

Companies Mentioned

  • Qualcomm
  • Nvidia
  • Intel Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Apple
  • Mediatek

Methodology

The analyst has been in the business of market research and management consulting since 2000 and has published over 600 market intelligence reports in various markets/applications and served over 1,000 clients worldwide. Each study is a culmination of four months of full-time effort performed by the analyst team. The analysts used the following sources for the creation and completion of this valuable report:

  • In-depth interviews of the major players in the market
  • Detailed secondary research from competitors’ financial statements and published data
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of professionals, who have analyzed and tracked the market over the years.

Extensive research and interviews are conducted in the supply chain of the market to estimate market share, market size, trends, drivers, challenges and forecasts.

Thus, the analyst compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. The analyst then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process.

 

Loading
LOADING...